An Efficient Deep Neural Network Binary Classifier for Alzheimer's Disease Classification.
Rukesh PrajapatiUttam KhatriGoo-Rak KwonPublished in: ICAIIC (2021)
Keyphrases
- learning vector quantization
- neural network
- binary classifiers
- classification process
- classification scheme
- classification method
- decision trees
- pattern recognition
- classification algorithm
- binary decision tree
- support vector machine
- support vector
- fuzzy artmap
- incremental learning
- svm classifier
- final classification
- feature selection
- training process
- multi class
- multi layer perceptron
- multi class svm
- training set
- multiclass classification
- classification accuracy
- fuzzy classifier
- class labels
- classification models
- nearest neighbour
- probabilistic neural network
- feature space
- classification rate
- high classification accuracy
- higher classification accuracy
- nearest neighbor classifier
- k nearest neighbour
- error correcting output codes
- feature set
- bayesian classifier
- binary classification problems
- training samples
- decision tree classifiers
- training data
- multiple classifiers
- classifier ensemble
- pattern classification
- supervised learning
- decision boundary
- text classification
- probabilistic classifiers
- image classification
- feature maps
- feature vectors
- individual classifiers
- classifier combination
- learning phase
- multiple classifier systems
- knn
- computer aided diagnosis
- roc curve
- ensemble classifier
- neural network model
- fold cross validation